Qwen3.5 35B A3B vs Gemma 4 26B A4B

At a Glance

Compare
Gemma 4 26B A4BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.14Deepinfra · Sep 21, 2026$0.070Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$1.00Deepinfra · Sep 21, 2026$0.30Openrouter · Sep 22, 2026
Context windowMaximum documented tokens262K262K
Model facts checkedAug 28, 2026View model evidence →Sep 3, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkQwen3.5-35B-A3BGemma 4 26B-A4B
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,395.5097% of row best · rating · qwen3.5-35b-a3b; 95% CI [1391.20067764, 1399.79162231]; votes 29043; rank 1481,434.47100% of row best · rating · gemma-4-26b-a4b; 95% CI [1426.87673667, 1442.06986887]; votes 5804; rank 80
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldQwen3.5-35B-A3BGemma 4 26B-A4B
DeveloperQwenGoogle DeepMind
FamilyQwen3 5 35b A3bGemma 4
ModelQwen3.5-35B-A3BGemma 4 26B-A4B
VersionQwen3.5-35B-A3BGemma 4 26B-A4B
Lifecycleactiveactive
ReleasedUnknown2026-03-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K262K
Total parameters36B26B
Active parameters3B4B
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools

Qwen3.5 35B A3B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-35B-A3B

Gemma 4 26B A4B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers4
Canonical IDgoogle/gemma-4-26B-A4B-it

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 35B A3B vs Gemma 4 26B A4B FAQs

Is Qwen3.5 35B A3B or Gemma 4 26B A4B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B and Gemma 4 26B A4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 35B A3B or Gemma 4 26B A4B?+

Qwen3.5 35B A3B is $0.14 and Gemma 4 26B A4B is $0.070 per million tokens, so Gemma 4 26B A4B is cheaper on this metric. Qwen3.5 35B A3B is $1.00 and Gemma 4 26B A4B is $0.30 per million tokens, so Gemma 4 26B A4B is cheaper on this metric.

Which has a larger context window, Qwen3.5 35B A3B or Gemma 4 26B A4B?+

Neither model has a larger sourced context window in this comparison. Qwen3.5 35B A3B is 262K and Gemma 4 26B A4B is 262K.

Which performs better in benchmarks, Qwen3.5 35B A3B or Gemma 4 26B A4B?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Qwen3.5 35B A3B or Gemma 4 26B A4B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3.5 35B A3B is open weight; Gemma 4 26B A4B is open weight.

Can Qwen3.5 35B A3B and Gemma 4 26B A4B understand images?+

Qwen3.5 35B A3B is documented with image input; Gemma 4 26B A4B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 35B A3B or Gemma 4 26B A4B?+

Neither has a larger sourced maximum output. Qwen3.5 35B A3B is — and Gemma 4 26B A4B is —.

Do Qwen3.5 35B A3B and Gemma 4 26B A4B support reasoning and tool use?+

Qwen3.5 35B A3B: reasoning, tool calling, and image input. Gemma 4 26B A4B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 35B A3B or Gemma 4 26B A4B?+

Qwen3.5 35B A3B has 4 sourced provider routes; Gemma 4 26B A4B has 4, a tie.

Which offers better value, Qwen3.5 35B A3B or Gemma 4 26B A4B?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

Send Feedback